IDEAS home Printed from https://ideas.repec.org/h/pal/palchp/978-1-137-46555-9_2.html
   My bibliography  Save this book chapter

VaR without Correlations for Portfolios of Derivative Securities

In: Simulating Security Returns: A Filtered Historical Simulation Approach

Author

Listed:
  • Giovanni Barone Adesi
  • Kostas Giannopoulos
  • Les Vosper

Abstract

We propose filtering historical simulation by GARCH processes to model the future distribution of assets and swap values. The price changes of options are computed by full re-evaluation on the changing prices of underlying assets. Our methodology implicitly takes into account the correlations of assets without restricting their values over time or computing them explicitly. VaR values for portfolios of derivative securities are obtained without linearizing them. Historical simulation assigns equal probability to past returns, neglecting current market conditions. Our methodology is a refinement of historical simulation.

Suggested Citation

  • Giovanni Barone Adesi & Kostas Giannopoulos & Les Vosper, 2014. "VaR without Correlations for Portfolios of Derivative Securities," Palgrave Macmillan Books, in: Giovanni Barone Adesi (ed.), Simulating Security Returns: A Filtered Historical Simulation Approach, chapter 2, pages 9-29, Palgrave Macmillan.
  • Handle: RePEc:pal:palchp:978-1-137-46555-9_2
    DOI: 10.1057/9781137465559_2
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:palchp:978-1-137-46555-9_2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.